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Method of Constructing a visualization of threat Model of Information Security 14

Method of Constructing a Visualization of Threat Model of In...

引用

14th IEEE International Conference on Application of Information and Communication Technologies (AICT)

作者： Manzhosov, A., V Bolodurina, I. P. Orenburg State Univ Dept Prod Automat Syst Orenburg Russia Orenburg State Univ Dept Appl Math Orenburg Russia

ISBN: (纸本)9781728173863

One of the most pressing tasks in the field of information security (IS) is the reduction of data processing time. Accurate and detailed data visualization optimizes the analysis process. the article proposes a method for visualizing the IS threat model, which reduce the amount of time to process the IS threat model. the classic way to display the IS threat model is a table. Processing the classical model of IS threats is quite laborious and takes a long time for IS analysts. In addition, there remains the risk of missing part of the information due to the large amount of data. the visualization method proposed in the article includes a two- and three-dimensional representation of the threat model. Such visualization reduces the data processing time for the analyst and can be applied in the field of information security management. the result of this work is an approach to visualization of the IS threat model that takes into account the spatio-temporal factor.

关键词： information security spatio-temporal model of information security threats visualization

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KeywordMap: Attention-based Visual Exploration for Keyword analysis

KeywordMap: Attention-based Visual Exploration for Keyword A...

引用

Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Yamei Tu Jiayi Xu Han-Wei Shen The Ohio State University

With the high growth rate of text data, extracting meaningful information from a large corpus becomes increasingly difficult. Keyword extraction and analysis is a common approach to tackle the problem, but it is non-trivial to identify important words in the text and represent the multifaceted properties of those words effectively. Traditional topic modeling based keyword analysis algorithms require hyper-parameters which are often difficult to tune without enough prior knowledge. In addition, the relationships among the keywords are often difficult to obtain. In this paper, we utilize the attention scores extracted from Transformer-based language models to capture word relationships. We propose a domain-driven attention tuning method, guiding the attention to learn domain-specific word relationships. From the attention, we build a keyword network and propose a novel algorithm, Attention-based Word Influence (AWI), to compute how influential each word is in the network. An interactive visual analytics system, KeywordMap, is developed to support multi-level analysis of keywords and keyword relationships through coordinated views. We measure the quality of keywords captured by our AWI algorithm quantitatively. We also evaluate the usefulness and effectiveness of KeywordMap through case studies.

关键词： Analytical models Social networking (online) Computational modeling Visual analytics Interactive systems Classification algorithms data mining

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Exploring correlation using circle waves 14

Exploring correlation using circle waves

引用

14th IADIS International Conference Computer Graphics, visualization, Computer Vision and Image Processing 2020, CGVCVIP 2020 and 5th IADIS International Conference Big data Analytics, data Mining and Computational Intelligence 2020, BigDaCI 2020 and 9th IADIS International Conference theory and Practice in Modern Computing 2020, TPMC 2020, Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020

作者： Ishpuniani, Dhruv Trinity College Dublin The University of Dublin Ireland

ISBN: (纸本)9789898704214

Correlation is widely used in data analytics applications to measure association between various variables. the common approaches to visualize multivariate correlation are clustered heatmaps and scatterplot matrices, however, they do not scale well when the number of variables is large. this paper presents a new animated, aesthetically pleasing alternative to the aforementioned approaches which also reduces the information overload experienced by the viewer. the proposed technique is applicable to scenarios where the analysis requires multiple target variables to be investigated and a high-level intuition about the correlation magnitude is enough. © Proceedings of the 14th IADIS International Conference Computer Graphics, visualization, Computer Vision and Image Processing 2020, CGVCVIP 2020 and Proceedings of the 5th IADIS International Conference Big data Analytics, data Mining and Computational Intelligence 2020, BigDaCI 2020 and Proceedings of the 9th IADIS International Conference theory and Practice in Modern Computing 2020, TPMC 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. All rights reserved.

关键词： data Analytics

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Exploratory User Study on Graph Temporal Encodings

Exploratory User Study on Graph Temporal Encodings

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Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Velitchko Filipov Alessio Arleo Silvia Miksch TU Wien

A temporal graph stores and reflects temporal information associated with its entities and relationships. Such graphs can be utilized to model a broad variety of problems in a multitude of domains. Re-searchers from different fields of expertise are increasingly applying graph visualization and analysis to explore unknown phenomena, complex emerging structures, and changes occurring over time in their data. While several empirical studies evaluate the benefits and drawbacks of different network representations, visualizing the temporal dimension in graphs still presents an open challenge. In this paper we propose an exploratory user study with the aim of evaluating different combinations of graph representations, namely node-link and adjacency matrix, and temporal encodings, such as superimposition, juxtaposition and animation, on typical temporal tasks. the study participants expressed positive feedback toward matrix representations, with generally quicker and more accurate responses than with the node-link representation.

关键词： visualization Error analysis data visualization Animation Encoding User experience Time factors

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FiberStars: Visual Comparison of Diffusion Tractography data between Multiple Subjects

FiberStars: Visual Comparison of Diffusion Tractography Data...

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Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Loraine Franke Daniel Karl I. Weidele Fan Zhang Suheyla Cetin-Karayumak Steve Pieper Lauren J. O’Donnell Yogesh Rathi Daniel Haehn University of Massachusetts Boston IBM Research Harvard Medical School Isomics Inc.

ISBN: (纸本)9781665439312;9781665439329

Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data allows brain's structural connectivity analysis. Recent dMRI studies aim to compare connectivity patterns across subject groups and disease populations to understand subtle abnormalities in the brain's white matter connectivity and distributions of biologically sensitive dMRI derived metrics. Existing software products focus solely on the anatomy, are not intuitive or restrict the comparison of multiple subjects. In this paper, we present the design and implementation of FiberStars, a visual analysis tool for tractography data that allows the interactive visualization of brain fiber clusters combining existing 3D anatomy with compact 2D visualizations. With FiberStars, researchers can analyze and compare multiple subjects in large collections of brain fibers using different views. To evaluate the usability of our software, we performed a quantitative user study. We asked domain experts and non-experts to find patterns in a tractography dataset with either FiberStars or an existing dMRI exploration tool. Our results show that participants using FiberStars can navigate extensive collections of tractography faster and more accurately. All our research, software, and results are available openly.

关键词： visualization three-dimensional displays Navigation Sociology data visualization Tools Software

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ADVISor: Automatic visualization Answer for Natural-Language Question on Tabular data

ADVISor: Automatic Visualization Answer for Natural-Language...

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Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Can Liu Yun Han Ruike Jiang Xiaoru Yuan Key Laboratory of Machine Perception (Ministry of Education) and School of EECS Peking University Beijing China National Engineering Laboratory for Big Data Analysis and Application Peking University Beijing China Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University Beijing China

We propose an automatic pipeline to generate visualization with annotations to answer natural-language questions raised by the public on tabular data. With a pre-trained language representation model, the input natural language questions and table headers are first encoded into vectors. According to these vectors, a multi-task end-to-end deep neural network extracts related data areas and corresponding aggregation type. We present the result with carefully designed visualization and annotations for different attribute types and tasks. We conducted a comparison experiment with state-of-the-art works and the best commercial tools. the results show that our method outperforms those works with higher accuracy and more effective visualization.

关键词： Annotations Natural languages Pipelines Neural networks data visualization Tools data mining

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Unveiling the Conceptual analysis in the Direction of Developing a Fusion Virtual Reality Model for Hearing-Impaired Visual Interaction

Unveiling the Conceptual Analysis in the Direction of Develo...

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International Conference on Computer Applications and Industrial Electronics (ICCAIE)

作者： Ermiera Shafika Mokhtar Nurulnadwan Aziz Siti Salbiah Hamzah Siti Zulaiha Ahmad Ahmad Affandi Supli Azizah Che Omar College of Computing Informatics and Mathematics Universiti Teknologi MARA Cawangan Terengganu Dungun Terengganu Malaysia Faculty of Business and Management Universiti Teknologi MARA Cawangan Terengganu Dungun Terengganu Malaysia College of Computing Informatics and Mathematics Universiti Teknologi MARA Cawangan Perlis Arau Perlis Malaysia School of Computing and Data Science Xiamen University Malaysia Sepang Selangor Malysia School of Multimedia Technology and Communication Universiti Utara Malaysia Sintok Kedah Malysia

ISBN: (数字)9798350348798

ISBN: (纸本)9798350348804

Virtual Reality (VR) stands out as a rapidly evolving wearable technology. However, findings from previous studies reveal that existing VR models exhibit a significant deficiency in addressing the visual interaction requirements of the hearing-impaired (HI) population. While some studies focus on developing VR for HI individuals and incorporating assistive technology (AT) concepts, however, the integration of AT, empathic design (ED), and visual interaction (VI) principles remain underexplored. this study addresses the gap by proposing a fusion VR model that prioritizes the needs of HI individuals. the challenges faced by the HI, such as difficulties in visually utilizing sign language, gestures, body language, and lip sync, underscore the importance of adopting AT, ED, and VI design principles. through a rapid review approach, this paper strengthens the research foundation and outlines a conceptual framework for the development of a fusion VR model. this study aligns with the 12th Malaysian Plan's Pillar 5, emphasizing the empowerment of specific target groups, and supports SDG 10 by promoting social equality for the HI. the proposed fusion VR model aims to enhance existing designs by integrating AT, ED, and VI principles, providing a valuable reference for researchers in the field.

关键词： Solid modeling visualization Analytical models Systematics Sociology Virtual reality Auditory system

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Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs 14th

Propagate and Pair: A Single-Pass Approach to Critical Point...

引用

14th International symposium on Visual Computing (ISVC)

作者： Tu, Junyi Hajij, Mustafa Rosen, Paul Univ S Florida Tampa FL 33620 USA Ohio State Univ Columbus OH 43210 USA

ISBN: (纸本)9783030337209;9783030337193

With the popularization of Topological data analysis, the Reeb graph has found new applications as a summarization technique in the analysis and visualization of large and complex data, whose usefulness extends beyond just the graph itself. Pairing critical points enables forming topological fingerprints, known as persistence diagrams, that provides insights into the structure and noise in data. Although the body of work addressing the efficient calculation of Reeb graphs is large, the literature on pairing is limited. In this paper, we discuss two algorithmic approaches for pairing critical points in Reeb graphs, first a multipass approach, followed by a new single-pass algorithm, called Propagate and Pair.

关键词： Topological data analysis Reeb graph Critical point pairing

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Efficient Finite-Difference Time-Domain Method for Solving Electromagnetic Scattering in Layered Anisotropies

Efficient Finite-Difference Time-Domain Method for Solving E...

引用

International symposium on Antennas, Propagation and EM theory (ISAPE)

作者： Yilin Kang Yuxian Zhang Xiaoli Feng Lixia Yang Zhixiang Huang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education and with the Information Materials and Intelligent Sensing Laboratory of Anhui Province Industry-Education-Research Institute of Advanced Materials and Technology for Integrated Circuits and with School of Electronic and Information Engineering Anhui University Hefei China

ISBN: (数字)9798350353129

ISBN: (纸本)9798350353136

In this article, we propose an efficient numerical method for layered models based on the conventional finite difference time-domain (FDTD) method. the three-dimensional (3-D) layered model is compressed into one-dimensional (1-D) calculation, which improves the problem of large space memory and long running time for 3-D modeling while ensuring the accuracy and feasibility of the algorithm. On the one hand, by employing the transformation relationship between the transverse wave vector and the field in space, the expanded Maxwell's rotation equations are simplified, so that the equation system only retains the spatial transformation in the propagation direction. this processing allows for the calculation of the propagation characteristics of layered media without requiring more computational resources. On the other hand, to ensure the universality of the algorithm, a fully tensor anisotropic medium is selected for detecting the propagation data. At the same time, we design the layered structure and conduct the consistent 3-D modeling in the simulation software COMSOL. the results showed that our proposed efficient numerical algorithm greatly reduced the loss of computing resources while ensuring accuracy.

关键词： Solid modeling three-dimensional displays Accuracy Tensors Software algorithms Vectors Mathematical models Numerical models Time-domain analysis Finite difference methods

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Identifying Correlation Patterns in large Educational data Sources 21

Identifying Correlation Patterns in Large Educational Data S...

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14th International symposium on Visual Information Communication and Interaction, VINCI 2021

作者： Schmid, Marco Haymoz, Rahel Schiller, David Burch, Michael University of Applied Sciences Chur Switzerland

ISBN: (纸本)9781450386470

data on education contains various attributes, modeling the pupils' or students' personal properties or educational outcomes like reading or writing performances, mathematical skills, or linguistic competences. In this paper we describe a visual analysis tool that takes into account a multitude of educational data sources, filters those into the most relevant ones, and derives attributes-of-interest which form a high-dimensional dataset. For this data we apply t-SNE as one possible projection method to visualize and uncover similarities and dissimilarities among the high-dimensional attributes in a lower-dimensional space like in a scatter plot. We also support interaction techniques and further visual variables to encode additional data attributes in the form of color codings, sizes, and shapes. We illustrate the usefulness of our approach by applying it to educational data sources focusing on pupils and students in Switzerland while also visually communicating the found insights with educational science experts. Finally, we discuss limitations and scalability issues. © 2021 ACM.

关键词： Students

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